{"id":"W933550187","doi":"10.1016/j.ecolind.2015.05.010","title":"Comparing disturbance gradients and bird-based indices of biotic integrity for ranking the ecological integrity of Great Lakes coastal wetlands","year":2015,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Birds Canada; York University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation; Government of Ontario; Bird Studies Canada","keywords":"Ibis; Index of biological integrity; Disturbance (geology); Environmental science; Wetland; Ecology; Marsh; Generalist and specialist species; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771848,0.0002195544,0.0005495403,0.00008106303,0.0001586388,0.00002681579,0.000527865,0.0002404711,0.00009297132],"category_scores_gemma":[0.001062886,0.0001254004,0.0001138355,0.000389429,0.00121251,0.0001120413,0.0002966246,0.0004290542,0.00001386798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507532,"about_ca_system_score_gemma":0.00002979672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003839379,"about_ca_topic_score_gemma":0.00347733,"domain_scores_codex":[0.9980503,0.0003228925,0.0004929901,0.000404391,0.0003639607,0.0003654289],"domain_scores_gemma":[0.9979385,0.001171488,0.0004476482,0.0002347104,0.00002075838,0.0001868883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000106284,0.0003607605,0.9978896,0.00005285435,0.00002208228,0.000003115119,0.0002392435,0.00006823629,0.0001746403,0.0001706143,0.0002209548,0.0006916545],"study_design_scores_gemma":[0.001024202,0.0008779533,0.9887089,0.00003879557,0.00003512356,0.000004109758,0.0001722817,0.007137484,0.001107553,0.0004454369,0.0002909707,0.0001571844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981094,0.00003895117,0.0002220488,0.000189544,0.0002403228,0.0007372848,0.00003415641,0.00006249543,0.0003658047],"genre_scores_gemma":[0.999328,0.000003712143,0.0004767819,0.00006930967,0.00002699792,0.00006234763,0.000009486874,0.0000128182,0.00001052788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009180655,"threshold_uncertainty_score":0.5113679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477654341698808,"score_gpt":0.2582214158340247,"score_spread":0.2234448724170366,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}